Bibliographic record
Abstract
A56-year-old woman was admitted acutely with sepsis of unknown origin. She described a 2-day history of offensive-smelling urine, rigors and lower abdominal pain. Her axillary temperature was 39.6°C, her white cell count was 24.2x109/litre and a midstream urine analysis showed a large numbers of white cells. She was treated with intravenous antibiotics and subsequent urine culture grew Escherichia coli and Proteus species. An abdominal ultrasound scan revealed a highly echogenic linear structure within the bladder (Figure 1). Plain abdominal radiography indicated that this was a clinical thermometer (Figure 2). Once clinically stable, she proceeded to cystoscopy under general anaesthetic, with endoscopic extraction of an intact but highly-encrusted mercury thermometer (Figure 3). Her subsequent recovery was uneventful. The patient adamantly denied placing the thermometer within her own bladder. Instead, she believed that someone had mistaken her urethra for her anus when measuring her rectal temperature several years earlier. However, the most interesting feature of this case is not the X-ray appearance itself. Most notably, it was discovered that, while living elsewhere, her previous GP had organized a plain abdominal X-ray 1 year beforehand to investigate her recurrent urinary tract infections. This film was reported as being normal, but the following comment was made: ‘The patient appears to have been lying on a thermometer when the X-ray was taken. This is an artefact.’ No further tests were ordered at that time as her symptoms subsequently settled.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.022 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".